Women and Members of Socially Diverse Groups in a Sport Management Program: Key Lessons From Creating and Leading a Student-Led Equity, Diversity, and Inclusion Club
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This manuscript shares insights on the process of creating and operating a student-led equity, diversity, and inclusion (EDI) club centered in a sport management program through five reflective stories (i.e., three students and two faculty members). Sport Helps Everyone Make Allies is a student-led EDI club created at one of the largest sport-management-specific degree programs in North America. Based on critical reflections from the five stories, we identify key lessons for the creation and management of student-led EDI clubs: (a) resisting the chilly climate, (b) EDI initiatives within hierarchal systems, (c) EDI initiatives and the challenges of performative allyship, (d) EDI initiatives as agents of change, and (e) the essential role of faculty. By sharing our insights and reflections, we hope to help future social-justice-focused student groups navigate the development of a student-led EDI club.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it